Sökning: "google image"

Visar resultat 1 - 5 av 73 uppsatser innehållade orden google image.

  1. 1. Classifying Google reCAPTCHA v2 - A study using transfer learning models and evaluating their robustness against adversarial perturbations

    Magister-uppsats, Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Författare :Arvid Björklund; Marius Uogele; [2023]
    Nyckelord :reCAPTCHA; transfer learning; adversarial perturbations; convolutional neural network; Business and Economics;

    Sammanfattning : This thesis seeks to examine the suitability and robustness of transfer learning models in creating an efficient reCAPTCHA v2 classifier, and further evaluates their performance against various adversarial attacks. Three models - DenseNet201, EfficientNetV2, and InceptionV3 - were trained and assessed, highlighting the applicability of transfer learning techniques in the classification of reCAPTCHA v2 challenges. LÄS MER

  3. 2. Användandet av artificiell intelligens för effektiv försäljning inom e-handel

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Emmy Bergman; Erica Drwiega; [2023]
    Nyckelord :Artificial intelligence; E-commerce; Machine learning; Deep learning; Natural language processing; Recommendation system; Chatbot; Artificiell intelligens; E-handel; Maskininlärning; Djupinlärning; Rekommendationssystem; Språkteknologi; Chatbot;

    Sammanfattning : I takt med den växande tekniska utvecklingen har e-handeln börjat ta en allt större plats bland konsumenter och företag. Möjligheten att göra inköp på nätet prioriteras högt, särskilt i samband med Covid-19 pandemin då e-handeln i många fall tog över helt från fysiska butiker. LÄS MER

  4. 3. Towards Large Scale Façade Parsing: A Deep Learning Pipeline Using Mask R-CNN

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :MOLA AYENEW; [2022-04-27]
    Nyckelord :pipeline; semi-automated; building facade; parsing; panorama imagery; Google Street view; mapillary; Mask R-CNN; deep learning; inference; rectilinear projection;

    Sammanfattning : This thesis tries to find a methodology that create a working pipeline for building facade parsing, which allows to access large scale panorama imagery from Google Street View (GSV) and implement on deep learning models. We propose a semiautomated pipeline that integrates multiple systems for large-scale building facade parsing. LÄS MER

  5. 4. Automated Digitization and Summarization of Analog Archives : Comparing summaries made by GPT-3 and a human

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Maja Linderholm; [2022]
    Nyckelord :;

    Sammanfattning : This thesis aimed to create a tool that could assist climate researchers in their fieldwork. Through dialog with researchers at Stockholms University a need and interest for automated digitization and summarization of their handwritten notes could be identified. LÄS MER

  7. 5. Image Recognition for Solving Google’s reCAPTCHA : An Investigation of how Different Aspects Affects the Security of Google’s reCAPTCHA

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Oscar Bergström; Jennifer Larsson; [2022]
    Nyckelord :;

    Sammanfattning : In this project, an image recognition solver for Google’s reCAPTCHA was used to investigate how different aspects of the reCAPTCHA challenge affects its efficiency on defending against bots. The aspects that were examined was the type of reCAPTCHA challenge and the object which should be identified in the images. LÄS MER